jiawangbai

jiawangbai

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Company:Tsinghua University

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jiawangbai's repositories

HAT

Implementation of HAT https://arxiv.org/pdf/2204.00993

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DHTA-master

The implementatin of our ECCV 2020 work: Targeted Attack for Deep Hashing based Retrieval.

TA-LBF

The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits

HPT

Implementation of our ECCV2022 work - HPT

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Multinomial-Random-Forest

The implementatin of our work: Multinomial Random Forest

Versatile-Weight-Attack

The implementatin of Versatile Weight Attack via Flipping Limited Bits, including Singel Sample Attack and Triggered Samples Attack.

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BadCLIP

Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf

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Adversarial-Example-Games

Code for Adversarial Example Games NeurIPS 2020 Paper

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AutoCrawler

Google, Naver multiprocess image web crawler (Selenium)

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bing-images-downloader

Simple python app for Bing images download with help of Images Search API and Visual Search API, can be used for datasets preparing

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compression

Data compression in TensorFlow

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Hadamard-Matrix-for-hashing

CVPR2020: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval

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jiawangbai.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage, forked from https://github.com/RayeRen/acad-homepage.github.io

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linbp-attack

Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.

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model-sanitization

Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at ICLR 2020

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models

Models and examples built with TensorFlow

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Neural-Network-Architecture-Diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

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pytorch-vae

A Variational Autoencoder (VAE) implemented in PyTorch

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